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Anomaly Detection Based on Time Series Data of Hydraulic Accumulator.
Park, Min-Ho; Chakraborty, Sabyasachi; Vuong, Quang Dao; Noh, Dong-Hyeon; Lee, Ji-Woong; Lee, Jae-Ung; Choi, Jae-Hyuk; Lee, Won-Ju.
Afiliação
  • Park MH; Division of Marine Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
  • Chakraborty S; Interdisciplinary Major of Maritime and AI Convergence, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
  • Vuong QD; Terenz Co., Ltd., Busan 48060, Republic of Korea.
  • Noh DH; Division of Marine System Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
  • Lee JW; Hwajin Enterprise Co., Ltd., 25, Mieumsandan 2-ro, Gangseo-gu, Busan 46748, Republic of Korea.
  • Lee JU; Division of Marine System Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
  • Choi JH; Division of Marine System Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
  • Lee WJ; Division of Marine System Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
Sensors (Basel) ; 22(23)2022 Dec 02.
Article em En | MEDLINE | ID: mdl-36502152
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Máquina de Vetores de Suporte Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Máquina de Vetores de Suporte Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article